Gender: Female 
Age: 18-24
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Cohabitating 
First language: English 
Religion: Nothing 
Education: Prefer not to say
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 4
Home: Other (Please specify) Boyfriend owns the home
Employment: Employed full time
Occupation: Clerical support workers (those who perform clerical duties such as organizing, storing, computing and retrieving information)
Mother's occupation: Homemaker
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Do arts and crafts;Listen to rock/indie music;Exercise 
Devices used daily: Laptop;Smartphone 
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Claude 
LLM use cases: Coding;Translation;Brainstorming;Writing (e.g., composing emails);Proofreading/Editing (e.g., grammar, spelling, structure improvements);Get information about current events 
Contexts of LLM use: Personal;Creative or artistic 
Prompt 1: does this make sense? Highly recommend this audio book for that January motivation
Prompt 2: is there any research between women with reynauds and pregnancy?
Prompt 3: how do i successfully monetise my travel pinterest account?
Prompt 4: how to make a swirl on illustrator
Prompt 5: my website keeps going down for 10-25 minutes at a time. it has frequently happened the last couple of weeks. Will that be my websites fault or bluehosts?
Prompt 6: what aere some ways i can make extra money online
Prompt 7: what is a worthwhile ROAS value on etsy?
Prompt 8: write me 1 sentence for each of the following. It is going in a guide explaining remote income - tutoring, Tefl, VA, graphic design, writer, data entry
Prompt 9: on Semrush keyword tool, it ranks each keyword with a competition density, keyword difficulty and monthly searches. Why do some keywords have a hard(ish) keyword difficulty to rank with a 0 score for competition density?
Prompt 10: ow long to leave coconut oil diy hair mask in wet hair before washing it out